update README.md

README.md

@@ -29,7 +29,7 @@ Whether you work with regular languages or you would like to learn models of
 |----------|:-------------:|------:|
 | Deterministic     |  Deterministic Finite Automata<br />Mealy Machines<br />Moore Machines | Counterexample Processing<br />Seamless Caching<br />11 Eq. Oracles |
 | Non-Deterministic |    Observable Non-Deterministic FSM <br /> Abstracted Non-Deterministic FSM|   Size Reduction Trough Abstraction<br />|
-| Stochastic        |  Markov Decision Processes<br />Stochastic Mealy Machines<br />Markov Chains |    Counterexample Processing<br />Row/Cell Compatability Metrics<br />Model Checking with PRISM<br />[Alergia Passive Learning]((https://link.springer.com/article/10.1007/s10994-016-5565-9))|
+| Stochastic        |  Markov Decision Processes<br />Stochastic Mealy Machines<br />Markov Chains |    Counterexample Processing<br />Row/Cell Compatability Metrics<br />Model Checking with PRISM<br />Alergia Passive Learning|
 
 </center>
 
@@ -48,6 +48,9 @@ enables efficient learning of system models with large input space.
 AALpy enables efficient learning by providing a **large set of equivalence oracles**, implementing various conformance testing strategies. Learning 
 is mostly based on Angluin's [L* algorithm](https://people.eecs.berkeley.edu/~dawnsong/teaching/s10/papers/angluin87.pdf), for which AALpy supports a 
 selection of optimizations, including **efficient counterexample processing** and **caching**.
+
+AALpy also has an efficient implementation of the [Alergia](https://link.springer.com/article/10.1007/s10994-016-5565-9) algorithm, 
+suited for passive learning of Markov Chains and Markov Decision processes.
 
 ## Installation
 

setup.py

@@ -7,7 +7,7 @@
 
 setup(
     name='aalpy',
-    version='1.0.5',
+    version='1.1.0',
     packages=['aalpy', 'aalpy.base', 'aalpy.SULs', 'aalpy.utils', 'aalpy.oracles', 'aalpy.automata',
               'aalpy.learning_algs', 'aalpy.learning_algs.stochastic', 'aalpy.learning_algs.deterministic',
               'aalpy.learning_algs.non_deterministic'],